CN113982692A - Coal mine underground anti-scour limiter early warning system and method - Google Patents
Coal mine underground anti-scour limiter early warning system and method Download PDFInfo
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Abstract
The invention discloses a coal mine underground anti-scour limiter early warning system, which comprises: the image acquisition module is used for monitoring the entrance and exit of people in the anti-impact area; the data processing terminal is connected with the mining explosion-proof camera and used for carrying out people flow statistics on monitoring pictures in an anti-impact area; the switch is used for data exchange; the controller is used for controlling the air door switch of the anti-impact area; and the alarm is used for giving an alarm when the number of the personnel in the anti-impact area exceeds a set threshold value. The mining explosion-proof camera is installed in a roadway anti-impact area of a working face, accurately counts the number of people in the access and anti-impact areas, uploads the number of people to a management software early warning system in a mining explosion-proof and intrinsically safe computer through a network, and draws the anti-impact area and sets the number of people in the area by using the management software early warning system of the mining explosion-proof and intrinsically safe computer.
Description
Technical Field
The invention relates to the technical field of mining, in particular to a coal mine underground anti-scour limiter early warning system and a coal mine underground anti-scour limiter early warning method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Rock burst is one of the most serious natural disasters in coal mines worldwide, and the disasters release deformation energy of coal and rock masses in a sudden, rapid and violent mode, and the coal and rock masses are thrown out, so that support damage, caving, roadway blockage, and great loss of personnel to the mines are caused. With the ever-increasing mining depths of mines, mine pressures have emerged frequently and anti-impact work has become increasingly important. In particular to the prevention and treatment of scour prevention of the kilometer deep well. The quality of future anti-scour treatment will determine the survival of the mine. According to data, when 35% of the coal mine rock burst generation time is calculated as working face production, pressure is suddenly released instantly due to mining influence, and the generation place is in two lanes. And the rock burst has unknown properties. At present, the production of a digging working face is parallel operation, a plurality of work types are mutually crossed, meanwhile, the mining condition of the working face is not clear at sporadic posts such as fire prevention, transportation and the like, and no reasonable personnel limitation measures exist, so that the mine loss can be caused. In addition, the rock burst has attracted more and more attention of coal mine and engineering professionals, but the current underground coal mine anti-impact member early warning system is imperfect, cannot timely and effectively limit personnel in an anti-impact area, and therefore cannot effectively reduce casualties after the rock burst occurs.
Disclosure of Invention
In order to solve the problems, the invention provides an underground anti-collision and anti-limiting person early warning system and method for a coal mine, which can timely and effectively limit personnel in an anti-collision area and effectively reduce casualties after rock burst occurs.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a coal mine underground anti-impact person early warning system, which comprises:
the image acquisition module is used for monitoring the entrance and exit of people in the anti-impact area;
the data processing terminal is connected with the image acquisition module and is used for carrying out people flow statistics on the monitoring picture of the anti-scour area;
the switch is used for data exchange;
the controller is used for controlling the air door switch of the anti-impact area;
and the alarm is used for giving an alarm when the number of the personnel in the anti-impact area exceeds a set threshold value.
Furthermore, the image acquisition module is installed at an entrance and an exit of a roadway scour prevention area of the working face.
Furthermore, the data processing terminal adopts a mining explosion-proof and intrinsic safety type computer.
And the mining intrinsic safety type display is used for the mining explosion-proof and intrinsic safety type computer to issue and display information.
Furthermore, the mining intrinsically safe display is also used for displaying the number of real-time people in an anti-impact area.
Furthermore, the controller is connected with the mining explosion-proof and intrinsic safety computer and receives a signal instruction of the mining explosion-proof and intrinsic safety computer.
Further, the mining explosion-proof and intrinsic safety type computer is connected to the intelligent analysis management platform.
Furthermore, the intelligent analysis management platform carries out people flow statistics on the monitoring picture of the anti-impact area based on a human body feature recognition algorithm and a pattern recognition machine recognition algorithm.
Further, the human body feature recognition algorithm comprises the steps of determining a foreground and a background through a Gaussian mixture model, processing an image through a Canny edge detection algorithm, and determining a human body contour through double-threshold diffusion detection and edge connection.
In a second aspect, the invention provides a coal mine underground anti-impact person early warning method, which comprises the following steps:
when personnel enter an anti-impact area, the mining explosion-proof camera transmits monitoring data to a mining explosion-proof and intrinsic safety computer to count the number of the personnel entering, exiting and in the area and display the number of the personnel;
when the number of the personnel entering the anti-impact area reaches the set number of the personnel, the system sends out an alarm to require the personnel to evacuate;
when personnel in the anti-impact area come out, the system senses that the personnel come out, the quantity of the personnel in the anti-impact area is gradually decreased, and the requirement of a limiting person is met according to the principle of one-in one-out.
Compared with the prior art, the invention has the beneficial effects that:
the mining explosion-proof camera is installed in a roadway anti-impact area of a working face, the number of people in the anti-impact area and the number of people in the anti-impact area are accurately counted, the number of people in the anti-impact area is uploaded to a management software early warning system in a mining explosion-proof and intrinsically safe computer through a network, the anti-impact area is drawn and the number of people in the area is set by using the management software early warning system of the mining explosion-proof and intrinsically safe computer, people flow statistics is carried out on monitoring pictures of the anti-impact area by relying on a human body characteristic recognition algorithm and a mode recognition machine recognition algorithm, human bodies are distinguished by adopting human head and shoulder characteristics, the in-out direction of the human bodies is judged by a motion track, and accurate statistics can be realized.
Advantages of additional aspects will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a frame diagram provided in this embodiment.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In the present invention, terms such as "fixedly connected", "connected", and the like are to be understood in a broad sense, and may be a fixed connection, or may be an integral connection or a detachable connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be determined according to specific situations by persons skilled in the relevant scientific or technical field, and are not to be construed as limiting the present invention.
Example 1
In a first aspect, the invention provides a coal mine underground anti-impact person early warning system, which comprises:
the mining explosion-proof camera is used for monitoring the entrance and exit of personnel in an anti-impact area;
the mining explosion-proof and intrinsic safety type computer is connected with the mining explosion-proof type camera and is used for carrying out people flow statistics on monitoring pictures of an anti-impact area;
the mining explosion-proof switch is used for exchanging data;
the mining flame-proof and intrinsic safety type control box is used for controlling an air door switch in an anti-impact area.
The mining explosion-proof camera is arranged at an entrance and an exit of a roadway impact-proof area on a working face.
The mining intrinsic safety type display is used for the mining explosion-proof and intrinsic safety type computer to issue information and display the information.
The mining intrinsic safety type display is also used for displaying the real-time number of people in the anti-impact area.
The mining explosion-proof and intrinsic safety type control box is connected with the mining explosion-proof and intrinsic safety type computer and receives signal instructions of the mining explosion-proof and intrinsic safety type computer.
The anti-impact alarm system further comprises an alarm, and when the number of people in the anti-impact area exceeds a set threshold value, the alarm is given.
The mining explosion-proof and intrinsic safety type computer is connected to the intelligent analysis management platform.
The intelligent analysis management platform carries out people flow statistics on the monitoring picture of the anti-impact area based on a human body characteristic recognition algorithm and a pattern recognition machine recognition algorithm.
The human body feature recognition algorithm comprises the steps of determining a foreground and a background through a Gaussian mixture model, then processing an image through a Canny edge detection algorithm, and determining a human body contour through double-threshold emission detection and connection edges.
In particular, the method comprises the following steps of,
the anti-impact area limiting and early warning locking system is mainly provided with an AI intelligent mining explosion-proof camera, a mining explosion-proof and intrinsic safety computer, a mining explosion-proof switch, a mining explosion-proof and intrinsic safety control box, an online UPS, a mining intrinsic safety display and an air door.
The anti-impact limiter early warning lock is respectively installed in the roadway anti-impact area of the working face, accurate positioning can be achieved, the mining flame-proof and intrinsic safety type control box is used for controlling the air door switch, an AI intelligent mining flame-proof type camera is installed at all the entrances and exits entering the anti-impact area, the number of personnel is set through mining flame-proof and intrinsic safety type computer management software, the camera detects that the personnel enter the anti-impact area, the air door is automatically opened, and once the number of the personnel is set, alarming is achieved in the limiter area. The mining intrinsic safety type display is installed at a proper position of the place, text information is dynamically displayed according to information issued by a computer, specific information and safety information are displayed at regular time, when the text is displayed, the same voice as the text is sent out), the anti-impact limiting person early warning locking can automatically count people in and out of the anti-impact limiting person area, the number of counted people is displayed on the mining intrinsic safety type display, once the anti-impact limiting person area exceeds the limit, the system can send an alarm to require people to withdraw. Meanwhile, the air door locking function can be realized, personnel in the area can go out and can not enter, the air door is automatically locked, and the requirement of a user is met according to the principle of 'one-out-one-in-one'. The anti-collision person early warning locking can effectively count and display the number of the entering and exiting persons; when entering a coal face anti-impact area, the AI camera senses that the personnel enter and sequentially adds the personnel, displays the current number of people and the number of limited people on the mining intrinsic safety type display, and can rapidly give an alarm by voice to prompt that 'X limited people in the coal face anti-impact area and people are not allowed to enter'; when personnel in the anti-impact area come out, the personnel can be sensed to come out, and the quantity of the personnel in the anti-impact area is gradually reduced.
Example 2.
A coal mine underground anti-impact limiter early warning method comprises the following steps:
when personnel enter an anti-impact area, the mining explosion-proof camera transmits monitoring data to a mining explosion-proof and intrinsic safety computer to count the number of the personnel entering, exiting and in the area and display the number of the personnel;
when the number of the personnel entering the anti-impact area reaches the set number of the personnel, the system sends out an alarm to require the personnel to evacuate;
when personnel in the anti-impact area come out, the system senses that the personnel come out, the quantity of the personnel in the anti-impact area is gradually decreased, and the requirement of a limiting person is met according to the principle of 'one-out-one-in-one'.
In particular, the method comprises the following steps of,
the anti-impact regional personnel-limiting early warning system mainly comprises two parts of hardware and software
Hardware: the mining flame-proof type camera, the mining flame-proof and intrinsic safety type computer and the mining flame-proof type switch.
Software: management software early warning system and AI human body recognition module
Management software early warning system
An AI human body recognition algorithm is adopted in the management software early warning system of the mining explosion-proof computer, after a large number of real scene samples are trained, alarm information can be timely and accurately sent out to personnel behaviors occurring in scenes in various application scenes, and full-screen perimeter protection and area division of images can be realized by intelligently analyzing and recognizing real-time video images.
AI human body recognition algorithm
The mining explosion-proof camera is embedded with an AI human body recognition algorithm, accurately detects personnel, realizes human body detection, analysis and recognition, counts personnel events in an anti-impact area in real time, can automatically recognize the personnel when the personnel enter a monitoring range, takes a snapshot of the personnel and transmits the images to a management center, and outputs an alarm signal or a site linkage voice alarm at the management center.
As an example of the manner in which the device may be used,
in the human body identification algorithm provided by this embodiment, the foreground and the background are determined by a gaussian mixture model, and the gaussian mixture model defines K gaussian distribution models for each pixel point of an image to describe the state of the pixel point. The value of K is determined by the peak value distribution of the pixel points and is generally between 3 and 5.
In the foreground detection process, if an image pixel point is matched with one of the K Gaussian models, the pixel point is classified as a background point, and conversely, the pixel point is considered as a foreground point. Suppose that the pixel value of a certain pixel point in the video frame image is { X }1，X2，X3，···，XiThen the pixel value XiThe probability of (c) can be expressed by the gaussian equation of K:
where K is the total number of distribution modes, η (X)t,μi,t,σi,t) Is the ith Gaussian distribution at time ti,tIs the mean value ofi,tIs its covariance matrix, δi,tIs the variance, I is the three-dimensional identity matrix, ωi,tThe weight is distributed to the ith Gaussian at the time t.
Each new pixel value XtAnd comparing the current K models according to the following formula, directly finding a distribution model of which the matched new pixel value is worth, namely the mean deviation of the new pixel value and the distribution model is within 2.5:
|Xt-μi,t-1|≤2.5σi,t-1
if the matched pattern meets the background requirement, the pixel belongs to the background, otherwise, the pixel belongs to the foreground.
After the foreground picture is taken, processing the image by adopting a Canny edge detection algorithm, wherein the processing process is as follows:
(1) gaussian smoothing filter
(2) Calculating gradient strength and direction
And calculating the difference value of the two-bit image in the X axis and the Y axis by using a Sobel operator, and further processing the image edge.
(3) And inhibiting the pixel points with insufficient gradient, only keeping the maximum gradient, and obviously thinning the edge of the picture through non-maximum inhibition.
(4) Detect and connect edges with dual threshold emission.
And obtaining characteristics F1 and F3 by using the HU invariant moment, and judging whether the human body is the human body.
F1＝η20+η02
Body contour F1、F3The characteristic values are concentrated in a certain interval and obviously different from the characteristic values of the non-human body contour, and the average value is taken for judgment.
2. People counting function in anti-impact area
The people counting depends on a human body characteristic recognition algorithm and a mode recognition machine recognition algorithm, people flow counting is carried out on an anti-impact area in a monitoring picture, human bodies are distinguished by adopting human head and shoulder characteristics, the entering and exiting directions of the human bodies are judged through a motion track, the number of people staying in the area, the number of people entering the detection area and the number of people leaving the monitoring area are generated, and when the number of people reaches a set value, an alarm is triggered.
The specific contents of the statistics of the number of people in the impact-preventing area are shown in table 1.
TABLE 1 statistics of people in impact-resistant areas
3. Mode of operation of system
The mining flameproof camera is installed in a roadway anti-impact area of a working face, the number of people in the mining flameproof and intrinsically safe computer is accurately counted, the number of people in the mining flameproof and intrinsically safe computer is uploaded to a management software early warning system in the mining flameproof and intrinsically safe computer through a network, the mining flameproof and intrinsically safe computer management software early warning system is used for drawing an anti-impact area and setting the number of people in the area, a human body characteristic identification algorithm and a mode identification machine identification algorithm are relied on, people flow statistics is carried out on monitoring pictures of the anti-impact area, human body is distinguished by adopting human head and shoulder characteristics, the entering and exiting directions of the people are judged through a motion track, and accurate statistics can be realized.
The anti-impact limiter early warning system can automatically count the number of people in an in-out anti-impact limiter area personnel and an anti-impact area, when the personnel enter an anti-impact area, an AI camera senses that the personnel enter or enter the in-out anti-impact area, the people automatically count the number of the people in the area, the number of the people in the area is displayed in mining flame-proof and intrinsic safety computer management software, the number of the people in the in-out area and the number of the people in the anti-impact area, when the number of the people in the anti-impact area reaches the set number of the personnel, the system can give an alarm, the personnel are required to withdraw, the voice alarm prompt 'X people in the anti-impact area of a coal face, the people cannot enter rapidly', when the personnel in the anti-impact area come out, the personnel can be sensed, the number of the people in the anti-impact area is gradually decreased, and the requirement of the personnel is met according to the 'one-in-impact' principle.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. The utility model provides a colliery is scour protection in pit and is restricted personnel early warning system which characterized in that includes:
the image acquisition module is used for monitoring the entrance and exit of people in the anti-impact area;
the data processing terminal is connected with the image acquisition module and is used for carrying out people flow statistics on the monitoring picture of the anti-scour area;
the exchanger is used for exchanging data;
the controller is used for controlling the air door switch of the anti-impact area;
and the alarm is used for giving an alarm when the number of the personnel in the anti-impact area exceeds a set threshold value.
2. The coal mine underground anti-impact person early warning system according to claim 1, wherein the image acquisition module is installed at an entrance and an exit of a roadway anti-impact area of a working face.
3. The coal mine underground anti-impact limiter early warning system according to claim 2, wherein the data processing terminal adopts a mining explosion-proof and intrinsic safety type computer.
4. The coal mine underground anti-impact person early warning system according to claim 3, wherein the mining intrinsically safe display is further used for displaying the number of real-time persons in an anti-impact area.
5. The underground coal mine anti-impact limiter early warning system according to claim 4, further comprising a mine intrinsic safety type display used for a mine explosion-proof and intrinsic safety type computer to issue and display information.
6. The underground coal mine anti-impact limiter early warning system according to claim 5, wherein the controller is connected with a mining explosion-proof and intrinsic safety computer and receives signal instructions of the mining explosion-proof and intrinsic safety computer.
7. The coal mine underground anti-impact person early warning system according to claim 6, wherein the mining flameproof and intrinsically safe computer is connected to an intelligent analysis management platform.
8. The coal mine underground anti-impact person early warning system according to claim 7, wherein the intelligent analysis management platform performs people flow statistics on an anti-impact area monitoring picture based on a human body feature recognition algorithm and a pattern recognition machine recognition algorithm.
9. The system of claim 8, wherein the human feature recognition algorithm comprises determining foreground and background through a Gaussian mixture model, processing the image through a Canny edge detection algorithm, and determining human body contour through dual-threshold emission detection and connecting edges.
10. A coal mine underground anti-impact limiter early warning method is characterized by comprising the following steps:
when personnel enter an anti-impact area, the mining explosion-proof camera transmits monitoring data to a mining explosion-proof and intrinsic safety computer to count the number of the personnel entering, exiting and in the area and display the number of the personnel;
when the number of the personnel entering the anti-impact area reaches the set number of the personnel, the system sends out an alarm to require the personnel to evacuate;
when personnel in the anti-impact area come out, the system senses that the personnel come out, the quantity of the personnel in the anti-impact area is gradually decreased, and the requirement of a limiting person is met according to the principle of one-in one-out.
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